教師なし機械学習による道路オブジェクトの位置特定のためのシステムおよび方法

Title:

教師なし機械学習による道路オブジェクトの位置特定のためのシステムおよび方法

Document Type and Number:

Japanese Patent JP7293344

Kind Code:

B2

Abstract:

The present disclosure concerns systems, methods and a set of computer programs for precisely locating the position of at least one road object associated with a portion of a road network. The general principle of the disclosure is based on determining the position of a road object using unsupervised classification based on distribution density. In the disclosure, the classification is applied in two phases. In the first phase, it is applied a first time to the plurality of geographic coordinates associated with a road object so as to automatically group it into homogeneous classes. In the second phase, it is applied a second time to each class produced in the first phase, so as to automatically group it into homogeneous subclasses based on the azimuth angles of the road object that are associated with the geographic coordinates of the class.

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Inventors:

Silvia Jill Casals

Application Number:

JP2021513423A

Publication Date:

June 19, 2023

Filing Date:

September 10, 2019

Export Citation:

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Assignee:

Continental Automotive France
Continental Automotive GmbH

International Classes:

G06T7/00

Foreign References:

US20180189601
US20180004210
CN102997926A

Attorney, Agent or Firm:

Einzel Felix-Reinhard
Taku Morita
Junichi Maekawa
Hideo Nagashima
Hiroyasu Ninomiya
Ueshima class

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